BrainNet: optimal deep learning feature fusion for brain tumor classification

U Zahid, I Ashraf, MA Khan, M Alhaisoni… - Computational …, 2022 - Wiley Online Library
Early detection of brain tumors can save precious human life. This work presents a fully
automated design to classify brain tumors. The proposed scheme employs optimal deep …

The power of deep learning for intelligent tumor classification systems: A review

M Sachdeva, AKS Kushwaha - Computers and Electrical Engineering, 2023 - Elsevier
A tumor is a life-threatening disease that refers to the abnormal growth of cells in any part of
the human body. Early detection of this abnormality not only helps with appropriate …

Ensemble learning driven computer-aided diagnosis model for brain tumor classification on magnetic resonance imaging

T Vaiyapuri, J Mahalingam, S Ahmad… - IEEE …, 2023 - ieeexplore.ieee.org
Brain tumour (BT) detection involves the process of identifying the presence of a brain
tumour in medical imaging, such as MRI scans. BT detection often relies on medical imaging …

Oncological and functional neurosurgery: Perspectives for the decade regarding diffuse gliomas

H Duffau - Revue Neurologique, 2023 - Elsevier
For decades, diffuse glioma (DG) studies mostly focused on oncological considerations,
whereas functional outcomes received less attention. Currently, because overall survival …

A deep autoencoder approach for detection of brain tumor images

DR Nayak, N Padhy, PK Mallick, A Singh - Computers and Electrical …, 2022 - Elsevier
Brain tumor detection received much attention due to its clinical significance for early
treatment. Accurate diagnosis and classification of brain tumors are still challenging despite …

Combining the transformer and convolution for effective brain tumor classification using MRI images

M Aloraini, A Khan, S Aladhadh, S Habib… - Applied Sciences, 2023 - mdpi.com
In the world, brain tumor (BT) is considered the major cause of death related to cancer,
which requires early and accurate detection for patient survival. In the early detection of BT …

Tumor localization and classification from MRI of brain using deep convolution neural network and Salp swarm algorithm

J Alyami, A Rehman, F Almutairi, AM Fayyaz… - Cognitive …, 2024 - Springer
Early diagnosis of brain tumors is crucial for treatment planning and increasing the survival
rates of infected patients. In fact, brain tumors exist in a range of different forms, sizes, and …

Grade classification of tumors from brain magnetic resonance images using a deep learning technique

S Srinivasan, PSM Bai, SK Mathivanan… - Diagnostics, 2023 - mdpi.com
To improve the accuracy of tumor identification, it is necessary to develop a reliable
automated diagnostic method. In order to precisely categorize brain tumors, researchers …

Dual deep cnn for tumor brain classification

AM Al-Zoghby, EMK Al-Awadly, A Moawad, N Yehia… - Diagnostics, 2023 - mdpi.com
Brain tumor (BT) is a serious issue and potentially deadly disease that receives much
attention. However, early detection and identification of tumor type and location are crucial …

Detection of microscopic glaucoma through fundus images using deep transfer learning approach

S Akbar, SA Hassan, A Shoukat… - Microscopy Research …, 2022 - Wiley Online Library
Glaucoma disease in humans can lead to blindness if it progresses to the point where it
affects the oculus' optic nerve head. It is not easily detected since there are no symptoms …